Kun Yan
Impact in
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- Cancer-related molecular mechanisms research
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- RNA modifications and cancer
- Phytochemical Studies and Bioactivities
- Bone Metabolism and Diseases
- Natural product bioactivities and synthesis
- RNA Research and Splicing
- Circular RNAs in diseases
Papers in
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- Bone Metabolism and Diseases 4
- Photosynthetic Processes and Mechanisms 2
- RNA Research and Splicing 2
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- Ferroptosis and cancer prognosis 3
- Co-authors
- Qiaoran Xi (8 shared papers)Lifang Hu (3 shared papers)Zhihao Chen (3 shared papers)Airong Qian (3 shared papers)Xinxin Ci (3 shared papers)Runzhi Li (2 shared papers)Peihong Su (2 shared papers)Liping Peng (2 shared papers)
- Journals
- Frontiers in Pharmacology (2 papers)Cancer Letters (1 paper)Journal of Plant Physiology (1 paper)Nature Cancer (1 paper)BMB Reports (1 paper)
- Partner nations
- ChinaUnited StatesTaiwan
In The Last Decade
Kun Yan
30 papers receiving 621 citations
Peers
Comparison fields: 5 of 77
- Cancer Research 117
- Molecular Biology 384
- Genetics 33
- Cell Biology 53
- Oncology 69
Countries citing papers authored by Kun Yan
This map shows the geographic impact of Kun Yan's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Kun Yan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kun Yan more than expected).
Fields of papers citing papers by Kun Yan
This network shows the impact of papers produced by Kun Yan. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Kun Yan. The network helps show where Kun Yan may publish in the future.
Co-authors
The 25 scholars most cited alongside Kun Yan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 90 | |
| 2 | 2008 | 57 | |
| 3 | 2016 | 46 | |
| 4 | 2017 | 46 | |
| 5 | 2015 | 37 | |
| 6 | 2008 | 36 | |
| 7 | 2016 | 29 | |
| 8 | 2022 | 28 | |
| 9 | 1994 | 27 | |
| 10 | 2019 | 27 | |
| 11 | 2023 | 26 | |
| 12 | 2022 | 22 | |
| 13 | 2017 | 22 | |
| 14 | 2022 | 18 | |
| 15 | 2022 | 16 | |
| 16 | 2022 | 14 | |
| 17 | 2023 | 14 | |
| 18 | 2023 | 13 | |
| 19 | 2023 | 12 | |
| 20 | 2022 | 11 |
About Kun Yan
Kun Yan is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Cell Biology, Cancer Research and Genetics, having authored 32 papers that have together received 630 indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (4 papers), Bone Metabolism and Diseases (4 papers), Ferroptosis and cancer prognosis (3 papers), Endoplasmic Reticulum Stress and Disease (2 papers), interferon and immune responses (2 papers), Photosynthetic Processes and Mechanisms (2 papers), Cellular Mechanics and Interactions (2 papers) and RNA Research and Splicing (2 papers). The work is most often cited by research in Cancer Research (117 citations), Molecular Biology (384 citations), Genetics (33 citations), Cell Biology (53 citations) and Oncology (69 citations). Kun Yan has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Qiaoran Xi, Lifang Hu, Zhihao Chen, Airong Qian, Xinxin Ci, Runzhi Li, Peihong Su, Liping Peng, Dik‐Lung Ma and Dijie Li. Their work appears in journals such as Frontiers in Pharmacology, Cancer Letters, Journal of Plant Physiology, Nature Cancer and BMB Reports.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.